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1971 articles for “time study” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Needle Stick Injury (NSI) and its Associated Factors Among Healthcare Workers in Jugal Hospital, Harar, Ethiopia, 2021
Abstract: Objective: To determine the prevalence of needle stick injuries (NSIs) and its associated factors among healthcare workers in Jugal hospital, Harar, Ethiopia, 2021. Methods: Cross-sectional study was conducted from November 1st-15th, 2021. All health care workers working in the hospital were the source population. Self-administer questionnaire was used to collect data. Data was analyzed using SPSS software package version 21.0. Logistic regression was used to assess the association between the …
Published in Research and Reviews: A Journal of Medicine · Vol. 12, Issue 1, 2022 · pp. 1–7 Read article
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Layered Metal–Polymer Hybrid Laminates with Embedded Impact Sensors for Connected Automotive Panels
Abstract: The increasing demand for lightweight, intelligent, and structurally reliable automotive components has accelerated the development of multifunctional hybrid materials capable of simultaneously providing superior mechanical performance and real-time structural health monitoring. In this study, a novel layered metal–polymer hybrid laminate incorporating an embedded flexible impact sensor was developed for connected automotive panel applications. The laminate was fabricated using AA6061-T6 aluminum alloy face sheets and a thermoplastic polyurethane interlayer through hot-press …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 · pp. 36–47 Read article
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Study of Railway Fatalities in Barpeta, Assam
Abstract: Indian railway is one of the largest railway networks in the world. Although the fatalities are less than the road traffic accidents, railway accidents have a major impact in victims’ lives. A total of 58 cases of death due to railway incidences were studied in the dept. of forensic medicine, FAAMCH, Barpeta, Assam, during the years 2015 and 2016. The demographic patterns including injuries, time of death and causes of …
Published in Research and Reviews: A Journal of Toxicology · Vol. 7, Issue 2, 2017 · pp. 16–20 Read article
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Knowledge Enhancement Through Breast Cancer Education Among B.Sc. Nursing Students: A Pre-Experimental Study
Abstract: Background: Breast cancer continues to be a major global public health concern. Timely detection and proper management play a vital role in reducing morbidity and mortality. Nursing students must have sufficient knowledge to provide effective community education and deliver quality care. Aim: This study aims to evaluate the effect of a structured teaching program on improving the knowledge of nursing students. Method: The quantitative research approach with pre-experimental research design …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 3, 2025 · pp. 23–27 Read article
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Analysis of RCC Building with and Without Shear Wall Subjected to Blast Load
Abstract: In recent time we have witnessed number of terrorist activities around the world. In this era of technology, it is easy to target structures such as public building, bridges etc. by blasting them. Sometimes accidental blast during handling or storage may also cause huge damage to the structures. It is need of this time to make structures safe against such loads. Experimental methods are not always feasible hence in this …
Published in Recent Trends in Civil Engineering & Technology · Vol. 11, Issue 3, 2021 · pp. 16–22 Read article
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Rice Husk Energy Content Enhancement by the Torrefaction Process: Characterization and Statistical Studies
Abstract: Torrefaction is the partial pyrolysis of biomass at atmospheric pressure, in an inert environment. The objective of this study is to torrefy the rice husk of Ethiopian origin in order to enhance its energy density. The optimum torrefaction temperature, holding time, and acid concentration were investigated in this study by the three-level-three-factor Box-Behnken Design (BBD) using the Design-Expert 7.0.0 software.
Published in Emerging Trends in Chemical Engineering · Vol. 7, Issue 1, 2020 · pp. 1–4 Read article
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AI-Integrated Graphene-Modified Polymer Interfaces for Real-Time Crack Detection and Autonomous Healing in Smart Concrete Structures
Abstract: This study presents the design and development of a graphene-reinforced multifunctional polymer composite interface engineered for structural reinforcement, self-sensing, and autonomous healing applications in cementitious systems. A thermosetting polymer matrix embedded with graphene nanoplatelets (0.25–1.5 wt.%) was developed to establish a conductive polymer nano-composite network. Electrical characterization confirmed a distinct percolation threshold at ~0.6–0.8 wt.%, beyond which a sharp increase in conductivity was observed due to the formation of interconnected …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 30–42 Read article
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Critical Study of Annaraksha Vidhi Adhyaya of Ashtang Samgraha w.s.r.t. Warfare Military Tactics
Abstract: IMovies are the mirror of societal problems only time, date, names are changed. In movies, different tricks of killings and information theft are frequently seen. The warfare tactics used in ancient times are SO relevant today and need to be explored. Various means to toxicate the enemy are used cleverly. I Aim and object of the study is to critically review the scope of Agadatantra in the light of responsibilities …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 8, Issue 3, 2019 · pp. 1–12 Read article
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Data-Driven Life Prediction of Fiber-Reinforced Polymer Composites Using IoT Sensing and Machine Learning Algorithms
Abstract: The accurate prediction of fatigue life in fiber-reinforced polymer (FRP) composites remains a major challenge due to their nonlinear, multi-mechanism degradation behavior under variable loading conditions. This study presents a data-driven framework, H-LiProNet, which combines real-time IoT sensing with hybrid machine learning to estimate remaining useful life (RUL) in FRP composites. The proposed system integrates embedded Fiber Bragg Grating (FBG) and acoustic emission (AE) sensors to capture strain and damage …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 116–130 Read article
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Exhaustive Search Meets DNA Sequencing: A Comprehensive Review of TSP-Based Approaches
Abstract: Exhaustive search is a highly computational complex algorithm that checks every possibility to obtain the best solution. We illustrate an exhaustive search by applying it to three important problems: the traveling salesman problem, the knapsack problem, and the assignment problem. In this paper, we took a traveling salesman problem to explain DNA Sequencing. Since traveling salesman problem is an algorithmic problem that finds the shortest route between a set of …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 2, Issue 2, 2024 · pp. 11–21 Read article
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The Potential of Li-Fi for High-Speed Underwater Data Transfer
Abstract: Recently, there has been a growing interest in using underwater communication (UC) to monitor obstacles and marine life in oceans. Unlike conventional methods which struggle due to the absorption of radio waves in water, Li-Fi technology has emerged as a promising solution. Li-Fi utilizes light to transmit data, making it effective for underwater communication as light can penetrate deep into the ocean. In a recent study, researchers successfully demonstrated real-time …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 2, Issue 2, 2024 · pp. 10–17 Read article
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Deep Learning Applications in Bone Fracture Detection for Improved Radiographic Diagnostics
Abstract: Bone fracture detection is a critical aspect of medical diagnostics, traditionally relying on manual interpretation of radiographic images by experienced radiologists. This discipline has undergone a revolution with the introduction of machine learning (ML), which can improve accuracy, shorten diagnosis times, and lessen human error. This study investigates the use of different machine learning methods to enhance and automate the identification of bone fractures in radiography pictures. We utilized a …
Published in International Journal of Optical Innovations & Research · Vol. 2, Issue 2, 2024 · pp. 17–22 Read article
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Artificial Intelligence and Machine Learning Applications in Optimizing Air Conditioning Systems
Abstract: The growing demand for air conditioning systems, especially in the wake of climate change and increasing global temperatures, has led to a significant increase in energy consumption. This, in turn, contributes to the growing concerns of environmental sustainability and operational costs. As a result, there is a pressing need for innovative solutions to optimize the performance and energy efficiency of air conditioning (AC) systems. Artificial Intelligence (AI) and Machine Learning …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 12, Issue 1, 2025 · pp. 38–43 Read article
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Cervical Leiomyomas: Age associated insights from 3 Year prospective study from Tertiary Care Hospital
Abstract: Cervical leiomyomas are rare benign smooth muscle tumours of cervix, often presenting diagnostic challenges due to their uncommon occurrence and overlapping features with other cervical pathologies. This is a 3-year prospective study involving a total of 460 female subjects who were diagnosed with various gynecologic complications, with a particular focus on cervical leiomyomas. The study aims to provide a comprehensive age-wise distribution of cervical leiomyomas, emphasizing the incidence and prevalence …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 2, 2024 Read article
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Real-Time IR Intensity Measurement and Computation for Systems
Abstract: In contemporary defense mechanisms, infrared (IR) sensing has become a fundamental technology for identifying and neutralizing heat-seeking threats, especially concerning aircraft protection. Conventional IR detection systems, such as single-channel radiometers and basic thermal sensors, frequently face restrictions due to low spatial resolution, sluggish data processing, and inadequate user engagement. These constraints can impede the prompt identification of dangers like missile launches or flare activations, potentially endangering mission safety. Additionally, numerous …
Published in Journal of Microwave Engineering and Technologies · Vol. 12, Issue 3, 2025 · pp. 8–13 Read article
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The Daily Architect: A Personal Guide to Mastering Time and Building Productive Routines
Abstract: In today's fast-paced world, individuals face increasing challenges in managing their time, tasks, and personal responsibilities effectively. The concept of "My Daily Helper" is introduced as an intelligent, user-friendly system designed to streamline daily activities and enhance personal productivity. This research explores the design, functionality, and potential impact of such a digital assistant, emphasizing its role in task organization, time management, and decision support. The study investigates how a daily …
Published in Journal of Production Research & Management · Vol. 16, Issue 1, 2026 · pp. 37–50 Read article
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Enhancing Library Engagement: A Student-Centric Study at MDSD College, Ambala City
Abstract: The primary objective of this study is to examine the patterns of library usage, reading habits, motivational drivers, and the barriers that influence students’ engagement with library services at MDSD College, Ambala City. The research aims to identify both enabling and inhibiting factors to enhance the effectiveness of library resources and promote a vibrant reading culture. A quantitative research design was employed using a structured questionnaire distributed to a sample …
Published in Journal of Advancements in Library Sciences · Vol. 13, Issue 1, 2026 · pp. 15–27 Read article
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Aerodynamic Optimization of UAV Wings Using Machine Learning
Abstract: Unmanned Aerial Vehicles (UAVs) are increasingly deployed across defense, transportation, agriculture, and environmental monitoring, demanding improved aerodynamic efficiency to enhance endurance, stability, and payload capacity. Traditional aerodynamic optimization approaches, relying on computational fluid dynamics (CFD) simulations and wind tunnel experiments, are often time-consuming and computationally expensive. This study proposes a machine learning (ML)-driven framework for the aerodynamic optimization of UAV wing geometries, aiming to significantly reduce design cycles while improving …
Published in International Journal on Drones · Vol. 2, Issue 1, 2026 · pp. 1–7 Read article
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Effect of the U.V. Irradiation on the Aqueous Solution of Dye (i.e. Cresol Purple)
Abstract: This study aimed to estimate the effect of the U.V. irradiation on the aqueous solution of cresol purple. Then study the effect of the activation energy of each electron transfere on the absorbance and λmax values. The absorbance and λmax values of the selective λmax solutions were chanced in most solutions, where the U.V radiation gave different values at different irradiation periods, most of solution gave low values of absorbance …
Published in Emerging Trends in Chemical Engineering · Vol. 8, Issue 1, 2021 · pp. 30–35 Read article
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Electromagnetic Transients of a Sagging Conductor above Lossy Earth—Effect of its Loading and of the Earth Parameters
Abstract: This paper addresses the electromagnetic transients of a non-uniform overhead transmission line conductor with due consideration of its receiving-end load, its sag and of the earth parameters. The concept of the complex penetration depth is adopted in the formulation of the line’s equations in the s-domain. A relation for the conductor height as a function of the longitudinal co-ordinate is derived and incorporated in the analysis. The two simultaneous differential …
Published in Journal of Power Electronics and Power Systems · Vol. 7, Issue 3, 2017 · pp. 47–59 Read article